Petr Votava
Organization:
California State University, Monterey Bay
Email:
Business Phone:
Work:
(650) 604-2789
Co-Authored Publications:
- Kumar, U., et al. (2017), Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing, Remote Sens., 9, 1105, doi:10.3390/rs9111105.
- Basu, S., et al. (2015), A Semiautomated Probabilistic Framework for Tree-Cover Delineation from 1-m NAIP Imagery Using a High-Performance Computing Architecture, IEEE Trans. Geosci. Remote Sens., 53, 5690-5708, doi:10.1109/TGRS.2015.2428197.
- Ichii, K., et al. (2015), Refinement of rooting depths using satellite-based evapotranspiration seasonality for ecosystem modeling in California, 1907-1918 (manuscript in preparation).
- Ganguly, S., et al. (2012), Generating global Leaf Area Index from Landsat: Algorithm formulation and demonstration, Remote Sens. Environ., 122, 185-202.
- Melton, F., et al. (2012), Satellite Irrigation Management Support with the Terrestrial Observation and Prediction System: A Framework for Integration of Satellite and Surface Observations to Support Improvements in Agricultural Water Resource Management, IEEE J. Selected Topics in Applied Earth Observations & Remote Sensing, 5, 1709-1721, doi:10.1109/JSTARS.2012.2214474.
- Nemani, R., et al. (2011), Collaborative Supercomputing for Global Change Science., Eos Trans., 92 (13), 109-110, doi:10.1029/2011EO130001.
- Ichii, K., et al. (2008), Evaluation of snow models in terrestrial biosphere models using ground observation and satellite data, Impact on terrestrial ecosystem processes. Hydrological Processes, 22, 347-355.
- Yang, F., et al. (2007), Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach, Remote Sensing of Environment, 110, 109-122.